Dataset statistics
| Number of variables | 23 |
|---|---|
| Number of observations | 7000 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.2 MiB |
| Average record size in memory | 184.0 B |
Variable types
| Categorical | 10 |
|---|---|
| Numeric | 13 |
Customer ID has a high cardinality: 7000 distinct values | High cardinality |
Product ID has a high cardinality: 7000 distinct values | High cardinality |
Customer ID is uniformly distributed | Uniform |
Gender is uniformly distributed | Uniform |
Occupation is uniformly distributed | Uniform |
Marital Status is uniformly distributed | Uniform |
Home Ownership is uniformly distributed | Uniform |
Product ID is uniformly distributed | Uniform |
Products Purchased is uniformly distributed | Uniform |
Locations is uniformly distributed | Uniform |
Customer ID has unique values | Unique |
Product ID has unique values | Unique |
Average Purchase Value has unique values | Unique |
Last Purchase Value has unique values | Unique |
Total Values of Returns has unique values | Unique |
Number of Online Purchases has 300 (4.3%) zeros | Zeros |
Number of Returns has 1132 (16.2%) zeros | Zeros |
Reproduction
| Analysis started | 2023-03-16 06:39:21.175976 |
|---|---|
| Analysis finished | 2023-03-16 06:39:44.529101 |
| Duration | 23.35 seconds |
| Software version | pandas-profiling v3.4.0 |
| Download configuration | config.json |
| Distinct | 7000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| C001 | 1 |
|---|---|
| C4664 | 1 |
| C4675 | 1 |
| C4674 | 1 |
| C4673 | 1 |
| Other values (6995) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.857285714 |
| Min length | 4 |
Characters and Unicode
| Total characters | 34001 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 7000 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | C001 |
|---|---|
| 2nd row | C002 |
| 3rd row | C003 |
| 4th row | C004 |
| 5th row | C005 |
Common Values
| Value | Count | Frequency (%) |
| C001 | 1 | < 0.1% |
| C4664 | 1 | < 0.1% |
| C4675 | 1 | < 0.1% |
| C4674 | 1 | < 0.1% |
| C4673 | 1 | < 0.1% |
| C4672 | 1 | < 0.1% |
| C4671 | 1 | < 0.1% |
| C4670 | 1 | < 0.1% |
| C4669 | 1 | < 0.1% |
| C4668 | 1 | < 0.1% |
| Other values (6990) | 6990 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| c001 | 1 | < 0.1% |
| c014 | 1 | < 0.1% |
| c004 | 1 | < 0.1% |
| c005 | 1 | < 0.1% |
| c006 | 1 | < 0.1% |
| c007 | 1 | < 0.1% |
| c008 | 1 | < 0.1% |
| c009 | 1 | < 0.1% |
| c010 | 1 | < 0.1% |
| c011 | 1 | < 0.1% |
| Other values (6990) | 6990 |
Most occurring characters
| Value | Count | Frequency (%) |
| C | 7000 | |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | 6.2% |
| 0 | 2100 | 6.2% |
| 9 | 2100 | 6.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 27001 | |
| Uppercase Letter | 7000 | 20.6% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | |
| 0 | 2100 | |
| 9 | 2100 | |
| 8 | 2100 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 7000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 27001 | |
| Latin | 7000 | 20.6% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | |
| 0 | 2100 | |
| 9 | 2100 | |
| 8 | 2100 |
Latin
| Value | Count | Frequency (%) |
| C | 7000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 34001 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| C | 7000 | |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | 6.2% |
| 0 | 2100 | 6.2% |
| 9 | 2100 | 6.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| Female | |
|---|---|
| Male |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 4 |
Characters and Unicode
| Total characters | 35000 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Female |
|---|---|
| 2nd row | Female |
| 3rd row | Male |
| 4th row | Female |
| 5th row | Female |
Common Values
| Value | Count | Frequency (%) |
| Female | 3500 | |
| Male | 3500 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| female | 3500 | |
| male | 3500 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 10500 | |
| a | 7000 | |
| l | 7000 | |
| F | 3500 | 10.0% |
| m | 3500 | 10.0% |
| M | 3500 | 10.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 28000 | |
| Uppercase Letter | 7000 | 20.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 10500 | |
| a | 7000 | |
| l | 7000 | |
| m | 3500 | 12.5% |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 3500 | |
| M | 3500 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 35000 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 10500 | |
| a | 7000 | |
| l | 7000 | |
| F | 3500 | 10.0% |
| m | 3500 | 10.0% |
| M | 3500 | 10.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 35000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 10500 | |
| a | 7000 | |
| l | 7000 | |
| F | 3500 | 10.0% |
| m | 3500 | 10.0% |
| M | 3500 | 10.0% |
Age
Real number (ℝ≥0)
| Distinct | 47 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40.92542857 |
| Minimum | 18 |
|---|---|
| Maximum | 64 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 29 |
| median | 41 |
| Q3 | 53 |
| 95-th percentile | 62 |
| Maximum | 64 |
| Range | 46 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 13.49908621 |
|---|---|
| Coefficient of variation (CV) | 0.3298459339 |
| Kurtosis | -1.200306389 |
| Mean | 40.92542857 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | -0.001561549572 |
| Sum | 286478 |
| Variance | 182.2253284 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=47)
| Value | Count | Frequency (%) |
| 19 | 170 | 2.4% |
| 29 | 167 | 2.4% |
| 55 | 167 | 2.4% |
| 37 | 165 | 2.4% |
| 56 | 165 | 2.4% |
| 46 | 164 | 2.3% |
| 33 | 164 | 2.3% |
| 23 | 162 | 2.3% |
| 28 | 162 | 2.3% |
| 48 | 161 | 2.3% |
| Other values (37) | 5353 |
| Value | Count | Frequency (%) |
| 18 | 150 | |
| 19 | 170 | |
| 20 | 150 | |
| 21 | 123 | |
| 22 | 125 | |
| 23 | 162 | |
| 24 | 151 | |
| 25 | 151 | |
| 26 | 145 | |
| 27 | 140 |
| Value | Count | Frequency (%) |
| 64 | 123 | |
| 63 | 149 | |
| 62 | 136 | |
| 61 | 152 | |
| 60 | 150 | |
| 59 | 151 | |
| 58 | 138 | |
| 57 | 153 | |
| 56 | 165 | |
| 55 | 167 |
Income
Real number (ℝ≥0)
| Distinct | 6448 |
|---|---|
| Distinct (%) | 92.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39839.40357 |
| Minimum | 20001 |
|---|---|
| Maximum | 59999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 20001 |
|---|---|
| 5-th percentile | 21864.95 |
| Q1 | 29726.25 |
| median | 39764 |
| Q3 | 49868.25 |
| 95-th percentile | 57927.4 |
| Maximum | 59999 |
| Range | 39998 |
| Interquartile range (IQR) | 20142 |
Descriptive statistics
| Standard deviation | 11605.76241 |
|---|---|
| Coefficient of variation (CV) | 0.2913136586 |
| Kurtosis | -1.208830693 |
| Mean | 39839.40357 |
| Median Absolute Deviation (MAD) | 10076.5 |
| Skewness | 0.01322623083 |
| Sum | 278875825 |
| Variance | 134693721.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 25237 | 4 | 0.1% |
| 51539 | 3 | < 0.1% |
| 43261 | 3 | < 0.1% |
| 25211 | 3 | < 0.1% |
| 28929 | 3 | < 0.1% |
| 30439 | 3 | < 0.1% |
| 22723 | 3 | < 0.1% |
| 28106 | 3 | < 0.1% |
| 48951 | 3 | < 0.1% |
| 36411 | 3 | < 0.1% |
| Other values (6438) | 6969 |
| Value | Count | Frequency (%) |
| 20001 | 1 | |
| 20007 | 1 | |
| 20013 | 1 | |
| 20014 | 1 | |
| 20019 | 1 | |
| 20021 | 1 | |
| 20022 | 2 | |
| 20024 | 1 | |
| 20025 | 1 | |
| 20035 | 1 |
| Value | Count | Frequency (%) |
| 59999 | 1 | |
| 59973 | 1 | |
| 59972 | 1 | |
| 59971 | 1 | |
| 59970 | 1 | |
| 59969 | 1 | |
| 59959 | 1 | |
| 59945 | 1 | |
| 59940 | 1 | |
| 59932 | 2 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| Student | |
|---|---|
| Homemaker | |
| Technician | |
| Self-employed | |
| Manager | |
| Other values (2) |
Length
| Max length | 13 |
|---|---|
| Median length | 12 |
| Mean length | 9.571428571 |
| Min length | 7 |
Characters and Unicode
| Total characters | 67000 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Student |
|---|---|
| 2nd row | Student |
| 3rd row | Homemaker |
| 4th row | Student |
| 5th row | Homemaker |
Common Values
| Value | Count | Frequency (%) |
| Student | 1000 | |
| Homemaker | 1000 | |
| Technician | 1000 | |
| Self-employed | 1000 | |
| Manager | 1000 | |
| Professional | 1000 | |
| Executive | 1000 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| student | 1000 | |
| homemaker | 1000 | |
| technician | 1000 | |
| self-employed | 1000 | |
| manager | 1000 | |
| professional | 1000 | |
| executive | 1000 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 11000 | |
| n | 5000 | 7.5% |
| a | 5000 | 7.5% |
| o | 4000 | 6.0% |
| i | 4000 | 6.0% |
| l | 3000 | 4.5% |
| m | 3000 | 4.5% |
| r | 3000 | 4.5% |
| c | 3000 | 4.5% |
| t | 3000 | 4.5% |
| Other values (18) | 23000 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 59000 | |
| Uppercase Letter | 7000 | 10.4% |
| Dash Punctuation | 1000 | 1.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 11000 | |
| n | 5000 | 8.5% |
| a | 5000 | 8.5% |
| o | 4000 | 6.8% |
| i | 4000 | 6.8% |
| l | 3000 | 5.1% |
| m | 3000 | 5.1% |
| r | 3000 | 5.1% |
| c | 3000 | 5.1% |
| t | 3000 | 5.1% |
| Other values (11) | 15000 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 2000 | |
| P | 1000 | |
| E | 1000 | |
| M | 1000 | |
| T | 1000 | |
| H | 1000 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 66000 | |
| Common | 1000 | 1.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 11000 | |
| n | 5000 | 7.6% |
| a | 5000 | 7.6% |
| o | 4000 | 6.1% |
| i | 4000 | 6.1% |
| l | 3000 | 4.5% |
| m | 3000 | 4.5% |
| r | 3000 | 4.5% |
| c | 3000 | 4.5% |
| t | 3000 | 4.5% |
| Other values (17) | 22000 |
Common
| Value | Count | Frequency (%) |
| - | 1000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 67000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 11000 | |
| n | 5000 | 7.5% |
| a | 5000 | 7.5% |
| o | 4000 | 6.0% |
| i | 4000 | 6.0% |
| l | 3000 | 4.5% |
| m | 3000 | 4.5% |
| r | 3000 | 4.5% |
| c | 3000 | 4.5% |
| t | 3000 | 4.5% |
| Other values (18) | 23000 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| Single | |
|---|---|
| Married | |
| Divorced | |
| Widowed |
Length
| Max length | 8 |
|---|---|
| Median length | 7.5 |
| Mean length | 7 |
| Min length | 6 |
Characters and Unicode
| Total characters | 49000 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Single |
|---|---|
| 2nd row | Single |
| 3rd row | Single |
| 4th row | Married |
| 5th row | Single |
Common Values
| Value | Count | Frequency (%) |
| Single | 1750 | |
| Married | 1750 | |
| Divorced | 1750 | |
| Widowed | 1750 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| single | 1750 | |
| married | 1750 | |
| divorced | 1750 | |
| widowed | 1750 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 7000 | |
| e | 7000 | |
| d | 7000 | |
| r | 5250 | |
| o | 3500 | 7.1% |
| S | 1750 | 3.6% |
| n | 1750 | 3.6% |
| g | 1750 | 3.6% |
| l | 1750 | 3.6% |
| M | 1750 | 3.6% |
| Other values (6) | 10500 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 42000 | |
| Uppercase Letter | 7000 | 14.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 7000 | |
| e | 7000 | |
| d | 7000 | |
| r | 5250 | |
| o | 3500 | |
| n | 1750 | 4.2% |
| g | 1750 | 4.2% |
| l | 1750 | 4.2% |
| a | 1750 | 4.2% |
| v | 1750 | 4.2% |
| Other values (2) | 3500 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 1750 | |
| M | 1750 | |
| D | 1750 | |
| W | 1750 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 49000 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 7000 | |
| e | 7000 | |
| d | 7000 | |
| r | 5250 | |
| o | 3500 | 7.1% |
| S | 1750 | 3.6% |
| n | 1750 | 3.6% |
| g | 1750 | 3.6% |
| l | 1750 | 3.6% |
| M | 1750 | 3.6% |
| Other values (6) | 10500 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 49000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 7000 | |
| e | 7000 | |
| d | 7000 | |
| r | 5250 | |
| o | 3500 | 7.1% |
| S | 1750 | 3.6% |
| n | 1750 | 3.6% |
| g | 1750 | 3.6% |
| l | 1750 | 3.6% |
| M | 1750 | 3.6% |
| Other values (6) | 10500 |
No. Family Members
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| 4 | |
|---|---|
| 2 | |
| 3 | |
| 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 7000 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 2 |
| 4th row | 3 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 1797 | |
| 2 | 1771 | |
| 3 | 1724 | |
| 5 | 1708 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 4 | 1797 | |
| 2 | 1771 | |
| 3 | 1724 | |
| 5 | 1708 |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 1797 | |
| 2 | 1771 | |
| 3 | 1724 | |
| 5 | 1708 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 1797 | |
| 2 | 1771 | |
| 3 | 1724 | |
| 5 | 1708 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 7000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 4 | 1797 | |
| 2 | 1771 | |
| 3 | 1724 | |
| 5 | 1708 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 4 | 1797 | |
| 2 | 1771 | |
| 3 | 1724 | |
| 5 | 1708 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| Own | |
|---|---|
| Rent |
Length
| Max length | 4 |
|---|---|
| Median length | 3.5 |
| Mean length | 3.5 |
| Min length | 3 |
Characters and Unicode
| Total characters | 24500 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Own |
|---|---|
| 2nd row | Own |
| 3rd row | Own |
| 4th row | Own |
| 5th row | Own |
Common Values
| Value | Count | Frequency (%) |
| Own | 3500 | |
| Rent | 3500 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| own | 3500 | |
| rent | 3500 |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 7000 | |
| O | 3500 | |
| w | 3500 | |
| R | 3500 | |
| e | 3500 | |
| t | 3500 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 17500 | |
| Uppercase Letter | 7000 | 28.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 7000 | |
| w | 3500 | |
| e | 3500 | |
| t | 3500 |
Uppercase Letter
| Value | Count | Frequency (%) |
| O | 3500 | |
| R | 3500 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 24500 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 7000 | |
| O | 3500 | |
| w | 3500 | |
| R | 3500 | |
| e | 3500 | |
| t | 3500 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 24500 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 7000 | |
| O | 3500 | |
| w | 3500 | |
| R | 3500 | |
| e | 3500 | |
| t | 3500 |
Home Value
Real number (ℝ≥0)
| Distinct | 6970 |
|---|---|
| Distinct (%) | 99.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 527513.5511 |
| Minimum | 50145 |
|---|---|
| Maximum | 999983 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 50145 |
|---|---|
| 5-th percentile | 99381.7 |
| Q1 | 290479.25 |
| median | 525272 |
| Q3 | 765863.5 |
| 95-th percentile | 956070.25 |
| Maximum | 999983 |
| Range | 949838 |
| Interquartile range (IQR) | 475384.25 |
Descriptive statistics
| Standard deviation | 274771.5524 |
|---|---|
| Coefficient of variation (CV) | 0.520880557 |
| Kurtosis | -1.208711237 |
| Mean | 527513.5511 |
| Median Absolute Deviation (MAD) | 238257 |
| Skewness | 0.009020335072 |
| Sum | 3692594858 |
| Variance | 7.549940599 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 758622 | 2 | < 0.1% |
| 927514 | 2 | < 0.1% |
| 106221 | 2 | < 0.1% |
| 246156 | 2 | < 0.1% |
| 534550 | 2 | < 0.1% |
| 643803 | 2 | < 0.1% |
| 135260 | 2 | < 0.1% |
| 209335 | 2 | < 0.1% |
| 168727 | 2 | < 0.1% |
| 422450 | 2 | < 0.1% |
| Other values (6960) | 6980 |
| Value | Count | Frequency (%) |
| 50145 | 1 | |
| 50320 | 1 | |
| 50391 | 1 | |
| 50520 | 1 | |
| 50584 | 1 | |
| 51271 | 1 | |
| 51415 | 1 | |
| 51691 | 1 | |
| 51717 | 1 | |
| 51998 | 1 |
| Value | Count | Frequency (%) |
| 999983 | 1 | |
| 999972 | 1 | |
| 999807 | 1 | |
| 999617 | 1 | |
| 999496 | 1 | |
| 999309 | 1 | |
| 999238 | 1 | |
| 999216 | 1 | |
| 999040 | 1 | |
| 998999 | 1 |
Years in Current Home
Real number (ℝ≥0)
| Distinct | 20 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.48928571 |
| Minimum | 1 |
|---|---|
| Maximum | 20 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 10 |
| Q3 | 16 |
| 95-th percentile | 19 |
| Maximum | 20 |
| Range | 19 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 5.795180024 |
|---|---|
| Coefficient of variation (CV) | 0.5524856679 |
| Kurtosis | -1.219619429 |
| Mean | 10.48928571 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.004721408235 |
| Sum | 73425 |
| Variance | 33.58411151 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 5 | 374 | 5.3% |
| 1 | 370 | 5.3% |
| 19 | 370 | 5.3% |
| 14 | 365 | 5.2% |
| 4 | 365 | 5.2% |
| 17 | 362 | 5.2% |
| 11 | 361 | 5.2% |
| 6 | 360 | 5.1% |
| 8 | 356 | 5.1% |
| 15 | 353 | 5.0% |
| Other values (10) | 3364 |
| Value | Count | Frequency (%) |
| 1 | 370 | |
| 2 | 348 | |
| 3 | 315 | |
| 4 | 365 | |
| 5 | 374 | |
| 6 | 360 | |
| 7 | 351 | |
| 8 | 356 | |
| 9 | 322 | |
| 10 | 351 |
| Value | Count | Frequency (%) |
| 20 | 348 | |
| 19 | 370 | |
| 18 | 339 | |
| 17 | 362 | |
| 16 | 347 | |
| 15 | 353 | |
| 14 | 365 | |
| 13 | 321 | |
| 12 | 322 | |
| 11 | 361 |
Credit Score
Real number (ℝ≥0)
| Distinct | 500 |
|---|---|
| Distinct (%) | 7.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 747.1845714 |
| Minimum | 500 |
|---|---|
| Maximum | 999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 500 |
|---|---|
| 5-th percentile | 523 |
| Q1 | 621 |
| median | 750 |
| Q3 | 869 |
| 95-th percentile | 973 |
| Maximum | 999 |
| Range | 499 |
| Interquartile range (IQR) | 248 |
Descriptive statistics
| Standard deviation | 144.0245994 |
|---|---|
| Coefficient of variation (CV) | 0.1927563883 |
| Kurtosis | -1.192480138 |
| Mean | 747.1845714 |
| Median Absolute Deviation (MAD) | 123 |
| Skewness | -0.007655097289 |
| Sum | 5230292 |
| Variance | 20743.08523 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 859 | 28 | 0.4% |
| 784 | 27 | 0.4% |
| 552 | 26 | 0.4% |
| 657 | 24 | 0.3% |
| 558 | 24 | 0.3% |
| 833 | 23 | 0.3% |
| 703 | 23 | 0.3% |
| 875 | 23 | 0.3% |
| 516 | 23 | 0.3% |
| 605 | 22 | 0.3% |
| Other values (490) | 6757 |
| Value | Count | Frequency (%) |
| 500 | 16 | |
| 501 | 14 | |
| 502 | 17 | |
| 503 | 7 | 0.1% |
| 504 | 12 | |
| 505 | 21 | |
| 506 | 20 | |
| 507 | 10 | |
| 508 | 14 | |
| 509 | 17 |
| Value | Count | Frequency (%) |
| 999 | 14 | |
| 998 | 12 | |
| 997 | 12 | |
| 996 | 12 | |
| 995 | 15 | |
| 994 | 13 | |
| 993 | 15 | |
| 992 | 16 | |
| 991 | 7 | |
| 990 | 12 |
Number of Credit Cards
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| 3 | |
|---|---|
| 5 | |
| 2 | |
| 1 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 7000 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 5 |
|---|---|
| 2nd row | 1 |
| 3rd row | 5 |
| 4th row | 5 |
| 5th row | 5 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 1435 | |
| 5 | 1423 | |
| 2 | 1399 | |
| 1 | 1376 | |
| 4 | 1367 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 3 | 1435 | |
| 5 | 1423 | |
| 2 | 1399 | |
| 1 | 1376 | |
| 4 | 1367 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 1435 | |
| 5 | 1423 | |
| 2 | 1399 | |
| 1 | 1376 | |
| 4 | 1367 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 1435 | |
| 5 | 1423 | |
| 2 | 1399 | |
| 1 | 1376 | |
| 4 | 1367 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 7000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 1435 | |
| 5 | 1423 | |
| 2 | 1399 | |
| 1 | 1376 | |
| 4 | 1367 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 1435 | |
| 5 | 1423 | |
| 2 | 1399 | |
| 1 | 1376 | |
| 4 | 1367 |
Total Credit Card Limit
Real number (ℝ≥0)
| Distinct | 6101 |
|---|---|
| Distinct (%) | 87.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 17474.78814 |
| Minimum | 5000 |
|---|---|
| Maximum | 29998 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 5000 |
|---|---|
| 5-th percentile | 6251.8 |
| Q1 | 11179.75 |
| median | 17535 |
| Q3 | 23637.75 |
| 95-th percentile | 28631.05 |
| Maximum | 29998 |
| Range | 24998 |
| Interquartile range (IQR) | 12458 |
Descriptive statistics
| Standard deviation | 7157.089119 |
|---|---|
| Coefficient of variation (CV) | 0.4095665745 |
| Kurtosis | -1.19467901 |
| Mean | 17474.78814 |
| Median Absolute Deviation (MAD) | 6192.5 |
| Skewness | -0.01130591597 |
| Sum | 122323517 |
| Variance | 51223924.66 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 12395 | 5 | 0.1% |
| 12275 | 4 | 0.1% |
| 14445 | 4 | 0.1% |
| 6885 | 4 | 0.1% |
| 18770 | 4 | 0.1% |
| 19988 | 4 | 0.1% |
| 23377 | 3 | < 0.1% |
| 10415 | 3 | < 0.1% |
| 10735 | 3 | < 0.1% |
| 24839 | 3 | < 0.1% |
| Other values (6091) | 6963 |
| Value | Count | Frequency (%) |
| 5000 | 1 | |
| 5011 | 1 | |
| 5016 | 2 | |
| 5017 | 2 | |
| 5023 | 1 | |
| 5024 | 1 | |
| 5026 | 1 | |
| 5035 | 1 | |
| 5038 | 1 | |
| 5047 | 2 |
| Value | Count | Frequency (%) |
| 29998 | 1 | |
| 29995 | 1 | |
| 29991 | 1 | |
| 29990 | 1 | |
| 29986 | 1 | |
| 29984 | 1 | |
| 29974 | 1 | |
| 29971 | 1 | |
| 29967 | 1 | |
| 29961 | 2 |
Total Credit Card Balance
Real number (ℝ≥0)
| Distinct | 6062 |
|---|---|
| Distinct (%) | 86.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13085.94186 |
| Minimum | 1000 |
|---|---|
| Maximum | 24995 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 1000 |
|---|---|
| 5-th percentile | 2224 |
| Q1 | 7145.25 |
| median | 13115.5 |
| Q3 | 19120 |
| 95-th percentile | 23825.15 |
| Maximum | 24995 |
| Range | 23995 |
| Interquartile range (IQR) | 11974.75 |
Descriptive statistics
| Standard deviation | 6945.270765 |
|---|---|
| Coefficient of variation (CV) | 0.5307429026 |
| Kurtosis | -1.206868805 |
| Mean | 13085.94186 |
| Median Absolute Deviation (MAD) | 5998 |
| Skewness | -0.01555268547 |
| Sum | 91601593 |
| Variance | 48236786 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 23275 | 4 | 0.1% |
| 2850 | 4 | 0.1% |
| 22264 | 4 | 0.1% |
| 23111 | 4 | 0.1% |
| 11374 | 3 | < 0.1% |
| 14982 | 3 | < 0.1% |
| 1889 | 3 | < 0.1% |
| 1254 | 3 | < 0.1% |
| 8930 | 3 | < 0.1% |
| 14986 | 3 | < 0.1% |
| Other values (6052) | 6966 |
| Value | Count | Frequency (%) |
| 1000 | 1 | |
| 1002 | 1 | |
| 1003 | 1 | |
| 1014 | 1 | |
| 1020 | 1 | |
| 1026 | 1 | |
| 1027 | 1 | |
| 1034 | 1 | |
| 1036 | 1 | |
| 1037 | 1 |
| Value | Count | Frequency (%) |
| 24995 | 1 | |
| 24992 | 1 | |
| 24991 | 1 | |
| 24990 | 1 | |
| 24982 | 1 | |
| 24977 | 2 | |
| 24975 | 1 | |
| 24974 | 1 | |
| 24970 | 1 | |
| 24966 | 1 |
| Distinct | 7000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| P001 | 1 |
|---|---|
| P4664 | 1 |
| P4675 | 1 |
| P4674 | 1 |
| P4673 | 1 |
| Other values (6995) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.857285714 |
| Min length | 4 |
Characters and Unicode
| Total characters | 34001 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 7000 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | P001 |
|---|---|
| 2nd row | P002 |
| 3rd row | P003 |
| 4th row | P004 |
| 5th row | P005 |
Common Values
| Value | Count | Frequency (%) |
| P001 | 1 | < 0.1% |
| P4664 | 1 | < 0.1% |
| P4675 | 1 | < 0.1% |
| P4674 | 1 | < 0.1% |
| P4673 | 1 | < 0.1% |
| P4672 | 1 | < 0.1% |
| P4671 | 1 | < 0.1% |
| P4670 | 1 | < 0.1% |
| P4669 | 1 | < 0.1% |
| P4668 | 1 | < 0.1% |
| Other values (6990) | 6990 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| p001 | 1 | < 0.1% |
| p014 | 1 | < 0.1% |
| p004 | 1 | < 0.1% |
| p005 | 1 | < 0.1% |
| p006 | 1 | < 0.1% |
| p007 | 1 | < 0.1% |
| p008 | 1 | < 0.1% |
| p009 | 1 | < 0.1% |
| p010 | 1 | < 0.1% |
| p011 | 1 | < 0.1% |
| Other values (6990) | 6990 |
Most occurring characters
| Value | Count | Frequency (%) |
| P | 7000 | |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | 6.2% |
| 0 | 2100 | 6.2% |
| 9 | 2100 | 6.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 27001 | |
| Uppercase Letter | 7000 | 20.6% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | |
| 0 | 2100 | |
| 9 | 2100 | |
| 8 | 2100 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 27001 | |
| Latin | 7000 | 20.6% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | |
| 0 | 2100 | |
| 9 | 2100 | |
| 8 | 2100 |
Latin
| Value | Count | Frequency (%) |
| P | 7000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 34001 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| P | 7000 | |
| 1 | 3100 | |
| 4 | 3100 | |
| 6 | 3100 | |
| 5 | 3100 | |
| 3 | 3100 | |
| 2 | 3100 | |
| 7 | 2101 | 6.2% |
| 0 | 2100 | 6.2% |
| 9 | 2100 | 6.2% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| Clothing | |
|---|---|
| Jewelry | |
| Books | |
| Electronics | |
| Beauty Products | |
| Other values (2) |
Length
| Max length | 15 |
|---|---|
| Median length | 11 |
| Mean length | 10.42857143 |
| Min length | 5 |
Characters and Unicode
| Total characters | 73000 |
|---|---|
| Distinct characters | 29 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Clothing |
|---|---|
| 2nd row | Jewelry |
| 3rd row | Jewelry |
| 4th row | Books |
| 5th row | Jewelry |
Common Values
| Value | Count | Frequency (%) |
| Clothing | 1000 | |
| Jewelry | 1000 | |
| Books | 1000 | |
| Electronics | 1000 | |
| Beauty Products | 1000 | |
| Home Appliances | 1000 | |
| Outdoor Gear | 1000 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| clothing | 1000 | |
| jewelry | 1000 | |
| books | 1000 | |
| electronics | 1000 | |
| beauty | 1000 | |
| products | 1000 | |
| home | 1000 | |
| appliances | 1000 | |
| outdoor | 1000 | |
| gear | 1000 |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 8000 | 11.0% |
| e | 7000 | 9.6% |
| t | 5000 | 6.8% |
| r | 5000 | 6.8% |
| c | 4000 | 5.5% |
| l | 4000 | 5.5% |
| s | 4000 | 5.5% |
| 3000 | 4.1% | |
| u | 3000 | 4.1% |
| i | 3000 | 4.1% |
| Other values (19) | 27000 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 60000 | |
| Uppercase Letter | 10000 | 13.7% |
| Space Separator | 3000 | 4.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 8000 | |
| e | 7000 | |
| t | 5000 | 8.3% |
| r | 5000 | 8.3% |
| c | 4000 | 6.7% |
| l | 4000 | 6.7% |
| s | 4000 | 6.7% |
| u | 3000 | 5.0% |
| i | 3000 | 5.0% |
| n | 3000 | 5.0% |
| Other values (9) | 14000 |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 2000 | |
| C | 1000 | |
| H | 1000 | |
| A | 1000 | |
| O | 1000 | |
| P | 1000 | |
| E | 1000 | |
| J | 1000 | |
| G | 1000 |
Space Separator
| Value | Count | Frequency (%) |
| 3000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 70000 | |
| Common | 3000 | 4.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| o | 8000 | 11.4% |
| e | 7000 | 10.0% |
| t | 5000 | 7.1% |
| r | 5000 | 7.1% |
| c | 4000 | 5.7% |
| l | 4000 | 5.7% |
| s | 4000 | 5.7% |
| u | 3000 | 4.3% |
| i | 3000 | 4.3% |
| n | 3000 | 4.3% |
| Other values (18) | 24000 |
Common
| Value | Count | Frequency (%) |
| 3000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 73000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| o | 8000 | 11.0% |
| e | 7000 | 9.6% |
| t | 5000 | 6.8% |
| r | 5000 | 6.8% |
| c | 4000 | 5.5% |
| l | 4000 | 5.5% |
| s | 4000 | 5.5% |
| 3000 | 4.1% | |
| u | 3000 | 4.1% |
| i | 3000 | 4.1% |
| Other values (19) | 27000 |
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.08414286 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 300 |
| Zeros (%) | 4.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 20 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.05569521 |
|---|---|
| Coefficient of variation (CV) | 0.6005166027 |
| Kurtosis | -1.208525012 |
| Mean | 10.08414286 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.006771876937 |
| Sum | 70589 |
| Variance | 36.67144447 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 6 | 369 | 5.3% |
| 18 | 367 | 5.2% |
| 20 | 352 | 5.0% |
| 1 | 345 | 4.9% |
| 4 | 344 | 4.9% |
| 10 | 343 | 4.9% |
| 13 | 341 | 4.9% |
| 14 | 339 | 4.8% |
| 15 | 337 | 4.8% |
| 2 | 336 | 4.8% |
| Other values (11) | 3527 |
| Value | Count | Frequency (%) |
| 0 | 300 | |
| 1 | 345 | |
| 2 | 336 | |
| 3 | 318 | |
| 4 | 344 | |
| 5 | 308 | |
| 6 | 369 | |
| 7 | 327 | |
| 8 | 316 | |
| 9 | 334 |
| Value | Count | Frequency (%) |
| 20 | 352 | |
| 19 | 330 | |
| 18 | 367 | |
| 17 | 317 | |
| 16 | 323 | |
| 15 | 337 | |
| 14 | 339 | |
| 13 | 341 | |
| 12 | 334 | |
| 11 | 320 |
| Distinct | 7000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 100.7765816 |
| Minimum | -80.26384392 |
|---|---|
| Maximum | 279.2748172 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 148 |
| Negative (%) | 2.1% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | -80.26384392 |
|---|---|
| 5-th percentile | 19.19922883 |
| Q1 | 66.46785191 |
| median | 100.5500473 |
| Q3 | 134.5182448 |
| 95-th percentile | 185.2018514 |
| Maximum | 279.2748172 |
| Range | 359.5386611 |
| Interquartile range (IQR) | 68.05039289 |
Descriptive statistics
| Standard deviation | 50.27271343 |
|---|---|
| Coefficient of variation (CV) | 0.4988531325 |
| Kurtosis | 0.001474209729 |
| Mean | 100.7765816 |
| Median Absolute Deviation (MAD) | 34.00771678 |
| Skewness | 0.03838563093 |
| Sum | 705436.0714 |
| Variance | 2527.345715 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 142.776953 | 1 | < 0.1% |
| 54.97160277 | 1 | < 0.1% |
| 58.2287251 | 1 | < 0.1% |
| 231.2789466 | 1 | < 0.1% |
| 76.97529012 | 1 | < 0.1% |
| 150.6893155 | 1 | < 0.1% |
| 98.52815527 | 1 | < 0.1% |
| 120.8047868 | 1 | < 0.1% |
| 96.20185103 | 1 | < 0.1% |
| 196.0836826 | 1 | < 0.1% |
| Other values (6990) | 6990 |
| Value | Count | Frequency (%) |
| -80.26384392 | 1 | |
| -79.31699369 | 1 | |
| -72.58159204 | 1 | |
| -67.03130105 | 1 | |
| -63.39932861 | 1 | |
| -58.19871061 | 1 | |
| -54.35400195 | 1 | |
| -51.79615066 | 1 | |
| -51.5453481 | 1 | |
| -49.55197153 | 1 |
| Value | Count | Frequency (%) |
| 279.2748172 | 1 | |
| 270.1991871 | 1 | |
| 268.265577 | 1 | |
| 267.1004713 | 1 | |
| 266.3735742 | 1 | |
| 261.5505872 | 1 | |
| 255.2772654 | 1 | |
| 254.5324395 | 1 | |
| 254.4024158 | 1 | |
| 253.0799878 | 1 |
| Distinct | 7000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 100.8628423 |
| Minimum | -76.62988491 |
|---|---|
| Maximum | 275.9845657 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 159 |
| Negative (%) | 2.3% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | -76.62988491 |
|---|---|
| 5-th percentile | 17.57295736 |
| Q1 | 67.77956408 |
| median | 101.0654707 |
| Q3 | 133.3891747 |
| 95-th percentile | 183.4089178 |
| Maximum | 275.9845657 |
| Range | 352.6144506 |
| Interquartile range (IQR) | 65.60961065 |
Descriptive statistics
| Standard deviation | 49.95197975 |
|---|---|
| Coefficient of variation (CV) | 0.4952466006 |
| Kurtosis | -0.008606302785 |
| Mean | 100.8628423 |
| Median Absolute Deviation (MAD) | 32.77791095 |
| Skewness | 0.007461356301 |
| Sum | 706039.8958 |
| Variance | 2495.200281 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50.13132471 | 1 | < 0.1% |
| 63.22702768 | 1 | < 0.1% |
| 82.00601323 | 1 | < 0.1% |
| 72.96663415 | 1 | < 0.1% |
| 156.2467632 | 1 | < 0.1% |
| -26.61713417 | 1 | < 0.1% |
| 117.5347205 | 1 | < 0.1% |
| 133.1139375 | 1 | < 0.1% |
| 136.4476772 | 1 | < 0.1% |
| 96.04656614 | 1 | < 0.1% |
| Other values (6990) | 6990 |
| Value | Count | Frequency (%) |
| -76.62988491 | 1 | |
| -76.53203112 | 1 | |
| -72.8920618 | 1 | |
| -57.35341792 | 1 | |
| -56.53252092 | 1 | |
| -55.61313353 | 1 | |
| -46.57475985 | 1 | |
| -46.26891967 | 1 | |
| -44.37624279 | 1 | |
| -43.49662433 | 1 |
| Value | Count | Frequency (%) |
| 275.9845657 | 1 | |
| 272.3903847 | 1 | |
| 271.1181047 | 1 | |
| 263.5791556 | 1 | |
| 259.2202299 | 1 | |
| 257.0936728 | 1 | |
| 253.5834687 | 1 | |
| 252.2103681 | 1 | |
| 251.299312 | 1 | |
| 245.8964967 | 1 |
Days Since Last Purchase
Real number (ℝ≥0)
| Distinct | 181 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 89.105 |
| Minimum | 0 |
|---|---|
| Maximum | 180 |
| Zeros | 36 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 45 |
| median | 89 |
| Q3 | 134 |
| 95-th percentile | 170 |
| Maximum | 180 |
| Range | 180 |
| Interquartile range (IQR) | 89 |
Descriptive statistics
| Standard deviation | 51.67243789 |
|---|---|
| Coefficient of variation (CV) | 0.5799050322 |
| Kurtosis | -1.182504745 |
| Mean | 89.105 |
| Median Absolute Deviation (MAD) | 45 |
| Skewness | 0.01195596315 |
| Sum | 623735 |
| Variance | 2670.040838 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 91 | 61 | 0.9% |
| 92 | 53 | 0.8% |
| 73 | 52 | 0.7% |
| 144 | 52 | 0.7% |
| 81 | 51 | 0.7% |
| 102 | 51 | 0.7% |
| 37 | 50 | 0.7% |
| 17 | 50 | 0.7% |
| 45 | 50 | 0.7% |
| 13 | 50 | 0.7% |
| Other values (171) | 6480 |
| Value | Count | Frequency (%) |
| 0 | 36 | |
| 1 | 40 | |
| 2 | 40 | |
| 3 | 36 | |
| 4 | 33 | |
| 5 | 46 | |
| 6 | 40 | |
| 7 | 30 | |
| 8 | 38 | |
| 9 | 38 |
| Value | Count | Frequency (%) |
| 180 | 28 | |
| 179 | 33 | |
| 178 | 26 | |
| 177 | 41 | |
| 176 | 35 | |
| 175 | 27 | |
| 174 | 36 | |
| 173 | 25 | |
| 172 | 36 | |
| 171 | 43 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.519285714 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 1132 |
| Zeros (%) | 16.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.701272245 |
|---|---|
| Coefficient of variation (CV) | 0.675299445 |
| Kurtosis | -1.264063584 |
| Mean | 2.519285714 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.01710523741 |
| Sum | 17635 |
| Variance | 2.894327251 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 4 | 1203 | |
| 3 | 1177 | |
| 1 | 1170 | |
| 5 | 1162 | |
| 2 | 1156 | |
| 0 | 1132 |
| Value | Count | Frequency (%) |
| 0 | 1132 | |
| 1 | 1170 | |
| 2 | 1156 | |
| 3 | 1177 | |
| 4 | 1203 | |
| 5 | 1162 |
| Value | Count | Frequency (%) |
| 5 | 1162 | |
| 4 | 1203 | |
| 3 | 1177 | |
| 2 | 1156 | |
| 1 | 1170 | |
| 0 | 1132 |
| Distinct | 7000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.79926437 |
| Minimum | -55.8173199 |
|---|---|
| Maximum | 160.3949982 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 357 |
| Negative (%) | 5.1% |
| Memory size | 54.8 KiB |
Quantile statistics
| Minimum | -55.8173199 |
|---|---|
| 5-th percentile | -0.2761370843 |
| Q1 | 29.39278708 |
| median | 50.08932643 |
| Q3 | 69.70943178 |
| 95-th percentile | 100.3043249 |
| Maximum | 160.3949982 |
| Range | 216.2123181 |
| Interquartile range (IQR) | 40.3166447 |
Descriptive statistics
| Standard deviation | 30.28368044 |
|---|---|
| Coefficient of variation (CV) | 0.6081150158 |
| Kurtosis | -0.06219464274 |
| Mean | 49.79926437 |
| Median Absolute Deviation (MAD) | 20.14057542 |
| Skewness | 0.007173978838 |
| Sum | 348594.8506 |
| Variance | 917.101301 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20.11094653 | 1 | < 0.1% |
| 26.6893269 | 1 | < 0.1% |
| 129.7567515 | 1 | < 0.1% |
| 23.19541932 | 1 | < 0.1% |
| 10.8850521 | 1 | < 0.1% |
| 45.02808758 | 1 | < 0.1% |
| 60.33012938 | 1 | < 0.1% |
| 78.02792802 | 1 | < 0.1% |
| -13.51030445 | 1 | < 0.1% |
| 26.10835351 | 1 | < 0.1% |
| Other values (6990) | 6990 |
| Value | Count | Frequency (%) |
| -55.8173199 | 1 | |
| -55.80208086 | 1 | |
| -54.55104152 | 1 | |
| -52.41760925 | 1 | |
| -43.98246171 | 1 | |
| -42.21296645 | 1 | |
| -41.74611272 | 1 | |
| -39.62831226 | 1 | |
| -37.18905753 | 1 | |
| -36.17004929 | 1 |
| Value | Count | Frequency (%) |
| 160.3949982 | 1 | |
| 153.4400186 | 1 | |
| 150.9814204 | 1 | |
| 149.8617707 | 1 | |
| 145.2198718 | 1 | |
| 144.8031135 | 1 | |
| 141.6712908 | 1 | |
| 140.4496797 | 1 | |
| 139.1724427 | 1 | |
| 139.0502279 | 1 |
| Distinct | 20 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.8 KiB |
| Bangalore | 350 |
|---|---|
| Delhi | 350 |
| Nagpur | 350 |
| Visakhapatnam | 350 |
| Lucknow | 350 |
| Other values (15) |
Length
| Max length | 13 |
|---|---|
| Median length | 8 |
| Mean length | 6.8 |
| Min length | 4 |
Characters and Unicode
| Total characters | 47600 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Bangalore |
|---|---|
| 2nd row | Delhi |
| 3rd row | Jaipur |
| 4th row | Nashik |
| 5th row | Bangalore |
Common Values
| Value | Count | Frequency (%) |
| Bangalore | 350 | 5.0% |
| Delhi | 350 | 5.0% |
| Nagpur | 350 | 5.0% |
| Visakhapatnam | 350 | 5.0% |
| Lucknow | 350 | 5.0% |
| Kanpur | 350 | 5.0% |
| Vadodara | 350 | 5.0% |
| Kolkata | 350 | 5.0% |
| Agra | 350 | 5.0% |
| Patna | 350 | 5.0% |
| Other values (10) | 3500 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| bangalore | 350 | 5.0% |
| delhi | 350 | 5.0% |
| jaipur | 350 | 5.0% |
| nashik | 350 | 5.0% |
| ludhiana | 350 | 5.0% |
| pune | 350 | 5.0% |
| ahmedabad | 350 | 5.0% |
| bhopal | 350 | 5.0% |
| surat | 350 | 5.0% |
| mumbai | 350 | 5.0% |
| Other values (10) | 3500 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 9800 | |
| n | 3150 | 6.6% |
| r | 2800 | 5.9% |
| u | 2800 | 5.9% |
| h | 2450 | 5.1% |
| d | 2450 | 5.1% |
| i | 2450 | 5.1% |
| e | 2100 | 4.4% |
| p | 1750 | 3.7% |
| o | 1750 | 3.7% |
| Other values (23) | 16100 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 40600 | |
| Uppercase Letter | 7000 | 14.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 9800 | |
| n | 3150 | 7.8% |
| r | 2800 | 6.9% |
| u | 2800 | 6.9% |
| h | 2450 | 6.0% |
| d | 2450 | 6.0% |
| i | 2450 | 6.0% |
| e | 2100 | 5.2% |
| p | 1750 | 4.3% |
| o | 1750 | 4.3% |
| Other values (10) | 9100 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 700 | |
| K | 700 | |
| A | 700 | |
| B | 700 | |
| L | 700 | |
| V | 700 | |
| N | 700 | |
| H | 350 | 5.0% |
| D | 350 | 5.0% |
| M | 350 | 5.0% |
| Other values (3) | 1050 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 47600 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 9800 | |
| n | 3150 | 6.6% |
| r | 2800 | 5.9% |
| u | 2800 | 5.9% |
| h | 2450 | 5.1% |
| d | 2450 | 5.1% |
| i | 2450 | 5.1% |
| e | 2100 | 4.4% |
| p | 1750 | 3.7% |
| o | 1750 | 3.7% |
| Other values (23) | 16100 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 47600 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 9800 | |
| n | 3150 | 6.6% |
| r | 2800 | 5.9% |
| u | 2800 | 5.9% |
| h | 2450 | 5.1% |
| d | 2450 | 5.1% |
| i | 2450 | 5.1% |
| e | 2100 | 4.4% |
| p | 1750 | 3.7% |
| o | 1750 | 3.7% |
| Other values (23) | 16100 |
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Customer ID | Gender | Age | Income | Occupation | Marital Status | No. Family Members | Home Ownership | Home Value | Years in Current Home | Credit Score | Number of Credit Cards | Total Credit Card Limit | Total Credit Card Balance | Product ID | Products Purchased | Number of Online Purchases | Average Purchase Value | Last Purchase Value | Days Since Last Purchase | Number of Returns | Total Values of Returns | Locations | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | C001 | Female | 23 | 27275 | Student | Single | 2 | Own | 442797 | 13 | 940 | 5 | 12331 | 22979 | P001 | Clothing | 8 | 142.776953 | 50.131325 | 29 | 1 | 20.110947 | Bangalore |
| 1 | C002 | Female | 18 | 35579 | Student | Single | 3 | Own | 182090 | 17 | 932 | 1 | 15733 | 18890 | P002 | Jewelry | 16 | 152.688423 | 40.423631 | 66 | 4 | 33.868237 | Delhi |
| 2 | C003 | Male | 45 | 59347 | Homemaker | Single | 2 | Own | 973684 | 12 | 552 | 5 | 22769 | 14721 | P003 | Jewelry | 3 | 115.261674 | 88.014050 | 131 | 4 | 94.178999 | Jaipur |
| 3 | C004 | Female | 19 | 27105 | Student | Married | 3 | Own | 94669 | 7 | 557 | 5 | 9127 | 21491 | P004 | Books | 1 | 48.428081 | 192.532891 | 50 | 5 | 51.754754 | Nashik |
| 4 | C005 | Female | 45 | 47566 | Homemaker | Single | 4 | Own | 938493 | 7 | 858 | 5 | 8278 | 2842 | P005 | Jewelry | 13 | 183.458441 | 233.079310 | 171 | 3 | 76.830901 | Bangalore |
| 5 | C006 | Male | 26 | 48031 | Student | Divorced | 5 | Rent | 664814 | 19 | 800 | 2 | 24566 | 19665 | P006 | Books | 14 | 158.440858 | 104.020963 | 165 | 3 | 107.127717 | Ludhiana |
| 6 | C007 | Female | 20 | 37707 | Technician | Widowed | 2 | Own | 717212 | 18 | 628 | 1 | 17079 | 11196 | P007 | Books | 12 | 72.058265 | 131.947531 | 91 | 3 | 48.380474 | Bangalore |
| 7 | C008 | Male | 61 | 35280 | Self-employed | Single | 4 | Rent | 459278 | 10 | 829 | 5 | 20088 | 14159 | P008 | Clothing | 19 | 165.900343 | 163.124116 | 144 | 2 | 107.574943 | Pune |
| 8 | C009 | Male | 26 | 59207 | Homemaker | Married | 2 | Own | 560883 | 5 | 580 | 5 | 10535 | 5979 | P009 | Clothing | 3 | 82.948927 | 155.806386 | 102 | 4 | 103.462284 | Ahmedabad |
| 9 | C010 | Male | 24 | 42999 | Homemaker | Single | 3 | Rent | 88944 | 15 | 944 | 1 | 13642 | 2508 | P010 | Electronics | 14 | 23.331704 | 208.430396 | 105 | 5 | 52.655495 | Jaipur |
Last rows
| Customer ID | Gender | Age | Income | Occupation | Marital Status | No. Family Members | Home Ownership | Home Value | Years in Current Home | Credit Score | Number of Credit Cards | Total Credit Card Limit | Total Credit Card Balance | Product ID | Products Purchased | Number of Online Purchases | Average Purchase Value | Last Purchase Value | Days Since Last Purchase | Number of Returns | Total Values of Returns | Locations | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6990 | C6991 | Male | 24 | 53655 | Executive | Divorced | 4 | Rent | 313417 | 9 | 618 | 5 | 8626 | 14108 | P6991 | Home Appliances | 7 | 71.701238 | 179.715482 | 143 | 1 | 125.193790 | Lucknow |
| 6991 | C6992 | Female | 51 | 40004 | Manager | Widowed | 3 | Own | 352772 | 8 | 874 | 5 | 12695 | 1441 | P6992 | Home Appliances | 16 | 63.668354 | 75.092544 | 56 | 3 | 18.132531 | Ahmedabad |
| 6992 | C6993 | Female | 54 | 37405 | Student | Married | 2 | Own | 385357 | 1 | 572 | 2 | 7592 | 12387 | P6993 | Jewelry | 2 | 130.711668 | 174.772819 | 170 | 2 | 118.620695 | Kolkata |
| 6993 | C6994 | Female | 25 | 27759 | Student | Widowed | 5 | Own | 701752 | 6 | 656 | 5 | 21703 | 17331 | P6994 | Jewelry | 14 | 122.380134 | 82.554251 | 78 | 1 | 2.795735 | Kolkata |
| 6994 | C6995 | Female | 55 | 23890 | Student | Married | 4 | Rent | 322742 | 5 | 927 | 3 | 27801 | 15866 | P6995 | Jewelry | 3 | 36.398758 | 118.028381 | 63 | 2 | -4.169920 | Patna |
| 6995 | C6996 | Male | 62 | 52159 | Professional | Single | 5 | Own | 449503 | 4 | 523 | 1 | 13416 | 16224 | P6996 | Beauty Products | 15 | 101.121872 | 124.814756 | 21 | 0 | 56.564169 | Bangalore |
| 6996 | C6997 | Male | 56 | 27406 | Self-employed | Single | 2 | Own | 804846 | 18 | 968 | 1 | 19661 | 8915 | P6997 | Outdoor Gear | 9 | 165.191947 | 153.226793 | 3 | 4 | 87.086811 | Pune |
| 6997 | C6998 | Female | 18 | 41671 | Self-employed | Widowed | 4 | Own | 356720 | 12 | 617 | 5 | 8769 | 5717 | P6998 | Home Appliances | 20 | 46.544462 | 85.187943 | 6 | 0 | 37.188616 | Mumbai |
| 6998 | C6999 | Male | 52 | 21359 | Executive | Divorced | 3 | Own | 978818 | 17 | 618 | 5 | 12395 | 7641 | P6999 | Electronics | 2 | 98.275850 | 151.667053 | 72 | 3 | 46.998330 | Bangalore |
| 6999 | C7000 | Female | 32 | 44999 | Technician | Widowed | 5 | Own | 166775 | 6 | 591 | 2 | 20117 | 20328 | P7000 | Home Appliances | 14 | 118.425279 | 160.690982 | 110 | 1 | 55.199802 | Bangalore |